Titlebook: Clinical Metabolomics Applications in Genetic Diseases; Anas M. Abdel Rahman Book 2023 The Editor(s) (if applicable) and The Author(s), un

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https://doi.org/10.1007/978-3-322-86202-0 mitochondria is ATP production through oxidative phosphorylation (OXPHOS). Mitochondria are found in nearly all cell types, and their number within cells varies in a tissue−/organ-dependent manner. Tissues/organs characterized by high-energy demands contain abundant mitochondria, and these tissues/

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https://doi.org/10.1007/978-3-322-86202-0ique metabolomic disease profiles. In the last few years, metabolomic-derived biomarkers and quantitative traits have helped identify the underlying mechanisms for many rare endocrine diseases and demonstrated a high potential for use in precision medicine. Using the metabolomic platform has also pr

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,Kernwaffen und regionale Stabilität,medicine to the right patient. The breathtaking boost in metabolomic technology has paved the huge potential for its application in personalized medicine. Correlating the metabolic phenotype of individuals into subgroups that respond differently is also becoming a reality through metabolomics. The p

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,Rüstungsaltlasten als Verwaltungsaufgabe,ved in health and disease. Currently, many lipidomic profiling applications are moving from research laboratories to clinical application, as lipidomics has the potential to be implemented into the clinical routine, complementing traditional clinical factors to improve the diagnosis, to stratify ris

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Genetics

The Mechanism of Action of rTMS,ment, or disease. This is challenging due to the structural diversity of the metabolites and the complexity of samples of interest, such as blood and urine, useful in population studies to study biological changes in large cohorts. The limited number of commercially available standards and incomplet

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Paul B. Fitzgerald,Z. Jeff Daskalakisosis in the lung interstitium, that is, the septum between alveoli and the blood capillaries. The clinical presentation of ILD is complex and the diagnosis is often challenging. Therefore, the need to establish disease-specific molecular fingerprints to better understand the underlying pathogenesis

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etabolism, primary immunodeficiency, and endocrine disorders. However, integrating metabolomics with other omics datasets and clinical phenotypes requires careful study design, analytical tools, and data analys978-981-99-5164-2978-981-99-5162-8